Demographics details for Redding, CA vs Ocean city, NJ
Population Overview
Compare main population characteristics in Redding, CA vs Ocean city, NJ.
| Data | Redding | Ocean city |
|---|---|---|
| Population | 92,906 | 11,303 |
| Median Age | 38.8 years | 56.9 years |
| Median Income | $67,323 | $98,576 |
| Married Families | 36.0% | 53.0% |
| Poverty Level | 13% | Data is updating |
| Unemployment Rate | 5.0 | 3.2 |
Population Comparison: Redding vs Ocean city
- In Redding, the population is higher at 92,906, compared to 11,303 in Ocean city.
- The median age in Ocean city is higher at 56.9 years, compared to 38.8 years in Redding.
- Ocean city has a higher median income of $98,576, compared to $67,323 in Redding.
- In Ocean city, the percentage of married families is higher at 53.0%, compared to 36.0% in Redding.
- Redding has a higher poverty level at 13% compared to 0% in Ocean city.
- The unemployment rate in Redding is higher at 5.0%, compared to 3.2% in Ocean city.
Demographics
Demographics Redding vs Ocean city provide insight into the diversity of the communities to compare.
| Demographic | Redding | Ocean city |
|---|---|---|
| Black | 1 | 3 |
| White | 71 | 86 |
| Asian | 4 | Data is updating |
| Hispanic | 12 | 8 |
| Two or More Races | 10 | 3 |
| American Indian | 2 | Data is updating |
Demographics Comparison: Redding vs Ocean city
- In Ocean city, the percentage of Black residents is higher at 3% compared to 1% in Redding.
- The percentage of White residents is higher in Ocean city at 86% compared to 71% in Redding.
- The Asian population is larger in Redding at 4% compared to 0% in Ocean city.
- The Hispanic community is larger in Redding at 12% compared to 8% in Ocean city.
- More residents identify as two or more races in Redding at 10% compared to 3% in Ocean city.
- A greater percentage of American Indian residents live in Redding at 2% compared to 0% in Ocean city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Redding | Ocean city |
|---|---|---|
| Mental Health Not Good | 18.2% | 14.0% |
| Physical Health Not Good | 11.9% | 8.7% |
| Depression | 22.1% | 21.8% |
| Smoking | 15.0% | 11.9% |
| Binge Drinking | 17.6% | 20.3% |
| Obesity | 30.9% | 29.8% |
| Disability Percentage | 17.0% | 14.0% |
Health Statistics Comparison: Redding vs Ocean city
- More residents in Redding report poor mental health at 18.2% compared to 14.0% in Ocean city.
- Depression is more prevalent in Redding at 22.1% compared to 21.8% in Ocean city.
- Smoking is more prevalent in Redding at 15.0% compared to 11.9% in Ocean city.
- More residents engage in binge drinking in Ocean city at 20.3% compared to 17.6% in Redding.
- Obesity rates are higher in Redding at 30.9% compared to 29.8% in Ocean city.
- Disability percentages are higher in Redding at 17.0% compared to 14.0% in Ocean city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Redding | Ocean city |
|---|---|---|
| No Schooling | 0.6% (581) | 0.4% (50) |
| High School Diploma | 14.2% (13,235) | 16.9% (1,907) |
| Less than High School | 9.2% (8,540) | 6.0% (676) |
| Bachelor's Degree and Higher | 18.3% (16,986) | 43.6% (4,926) |
Education Levels Comparison: Redding vs Ocean city
- A higher percentage of residents in Redding have no formal schooling at 0.6% compared to 0.4% in Ocean city.
- In Ocean city, the rate of residents with high school diplomas is higher at 16.9% compared to 14.2% in Redding.
- More residents in Redding have less than a high school education at 9.2% compared to 6.0% in Ocean city.
- In Ocean city, a larger share of residents have a bachelor's degree or higher at 43.6% compared to 18.3% in Redding.
Crime and Safety
Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.